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Round 16 · 2022

ItalyItalian Grand Prix

Monza, Italy9–11 Sept

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Drawn from car positions, 2026 FP1
  1. Practice 1
    Data published
    track 36° ·air 26° ·47% hum ·2.9 km/h wind
  2. Practice 2
    Data published
    track 38° ·air 28° ·41% hum ·3.6 km/h wind
  3. Practice 3
    Data published
    track 41° ·air 26° ·41% hum ·4.3 km/h wind
  4. Qualifying
    Data published
    track 41° ·air 28° ·35% hum ·3.6 km/h wind
    Fantasy lock
  5. Grand Prix
    Data published
    track 43° ·air 28° ·32% hum ·4.7 km/h wind

Times in UTC

Grand Prix result

PosDriverTeamGridMovedTime / gapPts
1VERRed Bull Racing761:20:27.51125
2LECFerrari11+2.44618
3RUSMercedes21+3.40515
4SAIFerrari1814+5.06112
5HAMMercedes1914+5.38010
6PERRed Bull Racing137+6.0919
7NORMcLaren34+6.2076
8GASAlphaTauri53+6.3964
9DEVWilliams81+7.1222
10ZHOAlfa Romeo91+7.9101
11OCOAlpine143+8.323
12MSCHaas F1 Team175+8.549
13BOTAlfa Romeo152+1 Lap
14TSUAlphaTauri206+1 Lap
15LATWilliams105+1 Lap
16MAGHaas F1 Team16+1 Lap
17RICMcLaren413Oil leak
18STRAston Martin126Engine
19ALOAlpine613Water pressure
20VETAston Martin119Engine

Qualifying

PosDriverQ1Q2Q3Gap to pole
1LEC1:21.2801:21.2081:20.161
2VER1:20.9221:21.2651:20.306+0.145
3SAI1:21.3481:20.8781:20.429+0.268
4PER1:21.4951:21.3581:21.206+1.045
5HAM1:22.0481:21.7081:21.524+1.363
6RUS1:21.7851:21.7471:21.542+1.381
7NOR1:22.1301:21.8311:21.584+1.423
8RIC1:22.1391:21.8551:21.925+1.764
9GAS1:22.0101:22.0621:22.648+2.487
10ALO1:22.0891:21.861+1.700
11OCO1:22.1661:22.130+1.969
12BOT1:22.2541:22.235+2.074
13DEV1:22.5671:22.471+2.310
14ZHO1:22.0031:22.577+2.416
15TSU1:22.020+1.859
16LAT1:22.587+2.426
17VET1:22.636+2.475
18STR1:22.748+2.587
19MAG1:22.908+2.747
20MSC1:23.005+2.844

How the weekend has moved

Practice 11:22.410
Practice 21:21.664−0.746
Practice 31:21.252−0.412
Qualifying1:20.161−1.091
Grand Prix1:24.030+3.869

Fastest lap of each session, the change from the session before, and the midfield's median fuel-corrected long run. Times normally tumble as the track rubbers in.

Monza in earlier seasons

20221:21.252
20211:20.926−0.326
20191:20.294−0.958
20181:20.509−0.743

Fastest practice lap per season at this circuit. Layout changes, resurfacing and weather all move these numbers, so read them as context rather than a like-for-like comparison.

Practice 1

LEC1:22.410

Single-lap pace

LEC1:22.410
SAI1:22.487+0.077
RUS1:22.689+0.279
HAM1:22.831+0.421
VER1:22.840+0.430
OCO1:23.075+0.665
ALO1:23.099+0.689
TSU1:23.260+0.850
BOT1:23.394+0.984
RIC1:23.511+1.101
ALB1:23.529+1.119
ZHO1:23.570+1.160
GAS1:23.640+1.230
PER1:23.661+1.251
STR1:23.688+1.278
NOR1:23.856+1.446
MAG1:24.006+1.596
GIO1:24.317+1.907
DEV1:24.731+2.321
LAT1:24.941+2.531

Best lap regardless of fuel load or compound — a sighting shot, not a form guide.

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
LECH5*1:25.740±0.488
NORS111:25.893+0.153±1.092+0.263s
VERS111:25.974+0.234±0.165+0.029s
TSUS5*1:26.214+0.474±0.852
RUSS6*1:26.618+0.878±0.978
ALOS81:26.636+0.896±0.337−0.077s
HAMH7*1:27.023+1.283±0.780
OCOS91:27.193+1.453±0.817+0.280s
ALBM7*1:27.243+1.503±0.215
ZHOS7*1:27.990+2.250±0.235
LATH7*1:28.177+2.437±0.431
BOTM7*1:28.312+2.572±0.355
STRH6*1:28.570+2.830±0.877
MAGS7*1:28.760+3.020±0.584
GIOS7*1:29.263+3.523±0.465

Each driver's longest clean stint, using green-flag laps only. Cool-down laps go first (anything more than 7% slower than that stint's best), then laps sitting well above the stint's own trend — traffic and mistakes — and a stint is discarded entirely if what remains isn't one continuous run. Times are corrected for fuel burn at 60 ms per lap, measured from 2024 race stints rather than assumed. Runs under eight laps (marked *) get no degradation figure, because a trend through so few laps is noise. Teams don't publish fuel loads, and 15 kg is worth about 0.4s a lap, so read these as driver groupings rather than exact gaps, and compare runs on the same compound.

Sectors and the lap they could have done

DriverS1S2S3Ideal lapBest lapLeft out
VER27.30227.47227.4301:22.2041:22.8400.636
LEC27.54027.41327.3261:22.2791:22.4100.131
SAI27.43327.69727.3571:22.4871:22.4870.000
RUS27.49327.80927.3871:22.6891:22.6890.000
HAM27.41527.86027.5561:22.8311:22.8310.000
OCO27.46627.93127.6761:23.0731:23.0750.002
ALO27.52827.90027.6711:23.0991:23.0990.000
TSU27.57627.84927.7591:23.1841:23.2600.076
BOT27.54627.97727.8341:23.3571:23.3940.037
ZHO27.55028.02427.8371:23.4111:23.5700.159
GAS27.43628.12927.8471:23.4121:23.6400.228
RIC27.41928.30227.7501:23.4711:23.5110.040
ALB27.31928.22027.9901:23.5291:23.5290.000
PER27.65428.15827.7931:23.6051:23.6610.056
STR27.47728.21927.9531:23.6491:23.6880.039
NOR27.62128.36227.8731:23.8561:23.8560.000
MAG27.81328.24427.8451:23.9021:24.0060.104
GIO27.86228.29228.1411:24.2951:24.3170.022
DEV27.76328.38228.3131:24.4581:24.7310.273
LAT27.70628.70828.4361:24.8501:24.9410.091

Best sector times are usually set on different laps, so their sum — the ideal lap — is quicker than anyone's actual best. The last column is the time left out there. Purple marks the session's fastest sector.

What the tyres are worth here

SSoft — referenceH+0.826(6 drivers ran both)Monly 2 drivers ran both — too few to price

Measured within each driver — only drivers who set a representative time on both compounds count — then averaged, so this isn't distorted by who happened to run which tyre. A lap counts only if it is within 2% of that driver's own best of the session, which keeps genuine runs on a slower tyre while dropping in-laps and aborted runs that would otherwise masquerade as a compound's best. A compound fewer than three drivers tried is listed but not priced. Even so, these laps aren't all qualifying simulations, so read this as the order of the compounds rather than an exact price.

Team-mates, head to head

FerrariLECahead of SAI+0.077
MercedesRUSahead of HAM+0.142
Red Bull RacingVERahead of PER+0.821
AlpineOCOahead of ALO+0.024
AlphaTauriTSUahead of GAS+0.380
Alfa RomeoBOTahead of ZHO+0.176
McLarenRICahead of NOR+0.345
WilliamsALBahead of LAT+1.412
Haas F1 TeamMAGahead of GIO+0.311

Same car, so the gap on their best lap is the clearest read on the driver available.

Stints and compounds

LEC9547
SAI6557
RUS12339
HAM113343
VER10314
OCO11512
ALO10511
TSU235268
BOT81711
RIC85544
ALB8610
ZHO91810
GAS48636
PER7266
STR1099
NOR51516
MAG71610
GIO8710
DEV222556
LAT7710
SSoftMMediumHHard

Practice 2

SAI1:21.664

Single-lap pace

SAI1:21.664
VER1:21.807+0.143
LEC1:21.857+0.193
NOR1:22.338+0.674
RUS1:22.386+0.722
PER1:22.394+0.730
HAM1:22.503+0.839
OCO1:22.728+1.064
ALO1:22.752+1.088
ALB1:22.835+1.171
RIC1:22.911+1.247
ZHO1:22.938+1.274
BOT1:22.993+1.329
GAS1:23.135+1.471
TSU1:23.217+1.553
MAG1:23.557+1.893
VET1:23.731+2.067
STR1:23.785+2.121
LAT1:23.982+2.318
MSC1:24.586+2.922

Best lap regardless of fuel load or compound — a sighting shot, not a form guide.

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
VERM101:26.229±0.445+0.080s
SAIM5*1:26.426+0.197±0.419
RUSS6*1:26.627+0.398±0.364
PERM7*1:26.671+0.442±0.195
ALOM111:26.968+0.739±0.250+0.045s
HAMM7*1:27.108+0.879±0.221
BOTS6*1:27.118+0.889±0.282
RICS6*1:27.194+0.965±0.234
OCOH81:27.260+1.031±0.294+0.040s
NORM101:27.263+1.034±0.354+0.073s
TSUM131:27.351+1.122±0.521+0.102s
ZHOM5*1:27.669+1.440±0.499
ALBH5*1:27.675+1.446±0.359
MAGM7*1:27.915+1.686±0.778
STRM81:28.167+1.938±0.624−0.001s

Each driver's longest clean stint, using green-flag laps only. Cool-down laps go first (anything more than 7% slower than that stint's best), then laps sitting well above the stint's own trend — traffic and mistakes — and a stint is discarded entirely if what remains isn't one continuous run. Times are corrected for fuel burn at 60 ms per lap, measured from 2024 race stints rather than assumed. Runs under eight laps (marked *) get no degradation figure, because a trend through so few laps is noise. Teams don't publish fuel loads, and 15 kg is worth about 0.4s a lap, so read these as driver groupings rather than exact gaps, and compare runs on the same compound.

Sectors and the lap they could have done

DriverS1S2S3Ideal lapBest lapLeft out
LEC27.08127.39827.0811:21.5601:21.8570.297
SAI27.19727.34527.0901:21.6321:21.6640.032
VER27.34527.32927.0631:21.7371:21.8070.070
NOR27.12127.78327.4341:22.3381:22.3380.000
RUS27.30427.67927.4031:22.3861:22.3860.000
PER27.41327.61927.3621:22.3941:22.3940.000
HAM27.29627.70027.5071:22.5031:22.5030.000
OCO27.34727.80427.5771:22.7281:22.7280.000
ALO27.42727.87627.4491:22.7521:22.7520.000
ALB27.15428.02627.6021:22.7821:22.8350.053
RIC27.20728.12927.5751:22.9111:22.9110.000
ZHO27.22528.06627.6471:22.9381:22.9380.000
BOT27.39828.00127.5941:22.9931:22.9930.000
GAS27.40328.09727.6341:23.1341:23.1350.001
TSU27.52628.02327.6421:23.1911:23.2170.026
MAG27.61528.12327.7961:23.5341:23.5570.023
VET27.38728.19828.0341:23.6191:23.7310.112
STR27.59128.09628.0421:23.7291:23.7850.056
LAT27.40428.42128.0011:23.8261:23.9820.156
MSC28.09728.26428.2251:24.5861:24.5860.000

Best sector times are usually set on different laps, so their sum — the ideal lap — is quicker than anyone's actual best. The last column is the time left out there. Purple marks the session's fastest sector.

What the tyres are worth here

SSoft — referenceM+0.739(14 drivers ran both)H+1.379(4 drivers ran both)

Measured within each driver — only drivers who set a representative time on both compounds count — then averaged, so this isn't distorted by who happened to run which tyre. A lap counts only if it is within 2% of that driver's own best of the session, which keeps genuine runs on a slower tyre while dropping in-laps and aborted runs that would otherwise masquerade as a compound's best. A compound fewer than three drivers tried is listed but not priced. Even so, these laps aren't all qualifying simulations, so read this as the order of the compounds rather than an exact price.

Team-mates, head to head

FerrariSAIahead of LEC+0.193
Red Bull RacingVERahead of PER+0.587
McLarenNORahead of RIC+0.573
MercedesRUSahead of HAM+0.117
AlpineOCOahead of ALO+0.024
WilliamsALBahead of LAT+1.147
Alfa RomeoZHOahead of BOT+0.055
AlphaTauriGASahead of TSU+0.082
Haas F1 TeamMAGahead of MSC+1.029
Aston MartinVETahead of STR+0.054

Same car, so the gap on their best lap is the clearest read on the driver available.

Stints and compounds

SAI81384
VER6417
LEC621410
NOR83135
RUS81393
PER3332312
HAM33397
OCO94313
ALO64117
ALB731319
RIC83105
ZHO813288
BOT61811
GAS82339
TSU53419
MAG55114
VET10169
STR74115
LAT154319
MSC45
SSoftMMediumHHard

Practice 3

VER1:21.252

Single-lap pace

VER1:21.252
LEC1:21.599+0.347
PER1:21.848+0.596
SAI1:21.897+0.645
ALO1:22.306+1.054
NOR1:22.319+1.067
RUS1:22.357+1.105
TSU1:22.430+1.178
OCO1:22.506+1.254
HAM1:22.567+1.315
ZHO1:22.657+1.405
GAS1:22.755+1.503
LAT1:22.776+1.524
DEV1:22.869+1.617
RIC1:22.871+1.619
BOT1:22.950+1.698
VET1:23.104+1.852
MAG1:23.203+1.951
MSC1:23.392+2.140
STR1:23.739+2.487

Best lap regardless of fuel load or compound — a sighting shot, not a form guide.

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
NORM5*1:24.939±1.325
HAMM6*1:25.026+0.087±0.381
RUSM81:25.118+0.179±0.229−0.003s
PERM6*1:26.424+1.485±0.260
TSUH7*1:26.817+1.878±0.193
BOTS5*1:27.555+2.616±0.228
MAGH6*1:28.095+3.156±0.358

Each driver's longest clean stint, using green-flag laps only. Cool-down laps go first (anything more than 7% slower than that stint's best), then laps sitting well above the stint's own trend — traffic and mistakes — and a stint is discarded entirely if what remains isn't one continuous run. Times are corrected for fuel burn at 60 ms per lap, measured from 2024 race stints rather than assumed. Runs under eight laps (marked *) get no degradation figure, because a trend through so few laps is noise. Teams don't publish fuel loads, and 15 kg is worth about 0.4s a lap, so read these as driver groupings rather than exact gaps, and compare runs on the same compound.

Sectors and the lap they could have done

DriverS1S2S3Ideal lapBest lapLeft out
VER27.07027.24926.9331:21.2521:21.2520.000
LEC27.07727.40926.9961:21.4821:21.5990.117
PER27.26027.54326.9891:21.7921:21.8480.056
SAI27.18627.60727.1041:21.8971:21.8970.000
ALO27.20127.76227.1881:22.1511:22.3060.155
NOR27.14127.99527.1831:22.3191:22.3190.000
RUS27.25827.80827.2571:22.3231:22.3570.034
TSU27.22827.79327.4091:22.4301:22.4300.000
OCO27.19627.84727.4631:22.5061:22.5060.000
HAM27.31827.86527.3841:22.5671:22.5670.000
GAS27.24127.87227.5221:22.6351:22.7550.120
LAT27.12027.91927.5981:22.6371:22.7760.139
ZHO27.12927.97427.5541:22.6571:22.6570.000
RIC27.32228.04427.3731:22.7391:22.8710.132
DEV27.08828.16427.6171:22.8691:22.8690.000
BOT27.23628.02727.6871:22.9501:22.9500.000
VET27.33128.00027.7731:23.1041:23.1040.000
MAG27.42028.20027.5831:23.2031:23.2030.000
MSC27.65927.97627.7571:23.3921:23.3920.000
STR27.62628.20027.8301:23.6561:23.7390.083

Best sector times are usually set on different laps, so their sum — the ideal lap — is quicker than anyone's actual best. The last column is the time left out there. Purple marks the session's fastest sector.

What the tyres are worth here

SSoft — referenceM+0.788(11 drivers ran both)Honly 1 driver ran both — too few to price

Measured within each driver — only drivers who set a representative time on both compounds count — then averaged, so this isn't distorted by who happened to run which tyre. A lap counts only if it is within 2% of that driver's own best of the session, which keeps genuine runs on a slower tyre while dropping in-laps and aborted runs that would otherwise masquerade as a compound's best. A compound fewer than three drivers tried is listed but not priced. Even so, these laps aren't all qualifying simulations, so read this as the order of the compounds rather than an exact price.

Team-mates, head to head

Red Bull RacingVERahead of PER+0.596
FerrariLECahead of SAI+0.298
AlpineALOahead of OCO+0.200
McLarenNORahead of RIC+0.552
MercedesRUSahead of HAM+0.210
AlphaTauriTSUahead of GAS+0.325
Alfa RomeoZHOahead of BOT+0.293
WilliamsLATahead of DEV+0.093
Aston MartinVETahead of STR+0.635
Haas F1 TeamMAGahead of MSC+0.189

Same car, so the gap on their best lap is the clearest read on the driver available.

Stints and compounds

VER5761
LEC5253
PER7937
SAI4346
ALO836
NOR955
RUS10338
TSU18108
OCO854
HAM84433
ZHO5513
GAS1983
LAT8173
DEV10173
RIC973
BOT61253
VET118136
MAG917
MSC8
STR11716
SSoftMMediumHHard